Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. Machine learning models require [[input]] data, which consists of [[feature]]s or attributes that describe the characteristics or properties of the data points. These features can be numerical, categorical, or text-based, depending on the problem. ---- Binary classification models take input data, which consists of a set of features or attributes. These features represent the characteristics or properties of the data points to be classified. The input data can be structured or unstructured, depending on the problem domain. input_data.txt Last modified: 2024/06/07 02:58by 127.0.0.1